DocumentCode
1934992
Title
Internal fingerprint acquisition from optical coherence tomography fingertip scans
Author
Darlow, Luke Nicholas ; Akhoury, Sharat Saurabh ; Connan, James
Author_Institution
Modelling & Digital Sci., Pretoria, South Africa
fYear
2015
fDate
3-5 Feb. 2015
Firstpage
188
Lastpage
191
Abstract
Current surface fingerprint scanners measure the surface topography of skin, resulting in vulnerabilities to surface skin erosion, distortion due to contact with the scanner, and fingerprint counterfeiting. An improved means of fingerprint acquisition is necessitated in these facts. By employing an imaging technique known as Optical Coherence Tomography to the human fingertip skin, a three-dimensional digital reconstruction of subsurface layers of skin can be used for the extraction of an internal fingerprint. The internal fingerprint is robust towards counterfeiting, damage, and distortion, thus providing a replacement for the surface fingerprint. However, OCT scans are corrupted by speckle noise and have low contrast, resulting in a poor quality fingerprint representation. This research applies image enhancement procedures to OCT scan images to improve internal fingerprint quality. Furthermore, a novel internal fingerprint mapping technique is presented: papillary junction detection followed by defined region mapping. With a RMS-contrast improvement of 97%, this technique yields a much higher quality internal fingerprint when compared to previous techniques.
Keywords
fingerprint identification; image denoising; image enhancement; image reconstruction; optical tomography; skin; Internal fingerprint acquisition; human fingertip skin; image enhancement; imaging technique; internal fingerprint; optical coherence tomography fingertip scans; papillary junction detection; skin subsurface layers; speckle noise; surface topography; three-dimensional digital reconstruction; Adaptive optics; Biomedical optical imaging; Coherence; Junctions; Optical imaging; Speckle; Tomography; Image denoising; Image enhancement; Image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4799-6375-1
Type
conf
DOI
10.1109/DINWC.2015.7054241
Filename
7054241
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